| 2025 | ACL | When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text. | Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2025 | NAACL | Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia. | Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser |
| 2025 | NAACL | Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. | Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko |
| 2024 | COLING | Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes. | Isar Nejadgholi, Kathleen C. Fraser, Anna Kerkhof, Svetlana Kiritchenko |
| 2024 | EACL | Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. | Kathleen C. Fraser, Svetlana Kiritchenko |
| 2024 | EMNLP | Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. | Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2022 | ACL | Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. | Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2022 | LREC | Extracting Age-Related Stereotypes from Social Media Texts. | Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi |
| 2022 | NAACL | Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. | Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko |
| 2021 | ACL | Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. | Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko |
| 2020 | LREC | SOLO: A Corpus of Tweets for Examining the State of Being Alone. | Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad |
| 2019 | NAACL | Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. | Shima Asaadi, Saif M. Mohammad, Svetlana Kiritchenko |
| 2018 | LREC | Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories. | Saif M. Mohammad, Svetlana Kiritchenko |
| 2018 | LREC | WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art. | Saif M. Mohammad, Svetlana Kiritchenko |
| 2018 | LREC | Quantifying Qualitative Data for Understanding Controversial Issues. | Michael Wojatzki, Saif M. Mohammad, Torsten Zesch, Svetlana Kiritchenko |
| 2017 | ACL | Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. | Svetlana Kiritchenko, Saif M. Mohammad |
| 2017 | AMIA | NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. | Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn |
| 2016 | LREC | Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases. | Svetlana Kiritchenko, Saif M. Mohammad |
| 2016 | LREC | A Dataset for Detecting Stance in Tweets. | Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry |
| 2016 | LREC | Sentiment Lexicons for Arabic Social Media. | Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko |
| 2016 | NAACL | Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. | Svetlana Kiritchenko, Saif M. Mohammad |
| 2016 | NAACL | Sentiment Composition of Words with Opposing Polarities. | Svetlana Kiritchenko, Saif M. Mohammad |
| 2015 | NAACL | Sentiment after Translation: A Case-Study on Arabic Social Media Posts. | Mohammad Salameh, Saif M. Mohammad, Svetlana Kiritchenko |
| 2014 | ACL | An Empirical Study on the Effect of Negation Words on Sentiment. | Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko |
| 2013 | KDD | Identifying purpose behind electoral tweets. | Saif M. Mohammad, Svetlana Kiritchenko, Joel D. Martin |
| 2011 | ACL | Lexically-Triggered Hidden Markov Models for Clinical Document Coding. | Svetlana Kiritchenko, Colin Cherry |
| 2008 | AMIA | Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications. | Berry de Bruijn, Simona Carini, Svetlana Kiritchenko, Joel D. Martin, Ida Sim |
| 2006 | AI | Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. | Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili |
| 2002 | AAAI | Generalized Features: Their Application to Classification. | Svetlana Kiritchenko, Stan Matwin |